Online Social Communities

  • Anuradha Goswami
  • Ajey KumarEmail author
Part of the Lecture Notes on Data Engineering and Communications Technologies book series (LNDECT, volume 21)


Social communities helps people to interact and engage both socially and cognitively. Direct and indirect relationships are built through these interactions with the members in the community. The members may be known, unknown, friends or relatives. With the invent of Web 2.0, Internet users were empowered with the ability to interact, share content and collaborate over the dynamic web pages. The evolution of technologies has helped the transition from offline to Online Social Communities (ONSC). Social interaction also got transformed within communities encouraging both offline and online connect. In this chapter, a comprehensive review of ONSC is done. First, the ONSC dimensions-user relationships, social interaction, common interests and virtual environments along with OSNC features-purpose, membership, rules and terms, user generated content, users-benefits and types are discussed in detail. Types of communities for ONSC are given based of three different school of thoughts. Second, the importance of ONSC management—user acquisition, user engagement and user retention, across different user participation life cycle stages—initial, growth, matured and decline, which is further mapped to user membership involvement phases, is given. Various perspectives, recommender systems and user engagement tools for ONSC are also included. A survey of ONSC structure detection techniques of disjoint and overlapping communities for both static and dynamic network structures is done. Finally, the applications of ONSCs across various domains are explained. The summary of popular ONSC available till date and supported businesses flourishing based on ONSCs are explicitly mentioned.


Web 2.0 Social communities Online social communities Online social community management User participation life cycle Disjoint communities Overlapping communities Domains 


  1. 1.
    Hillery GJ (1955) Definitions of community: areas of agreement. Rural Sociol. 20:111–122Google Scholar
  2. 2.
    Wellman B (2001) The persistence and transformation of community: from neighbourhood groups to social networks. Law Commission of Canada, Ottawa, p 101Google Scholar
  3. 3.
    Wellman B (2002) Little boxes, globalization, and networked individualism. In: Tanabe M, van den Besselaar P, Ishida T (eds) Digital cities II: computational and sociological approaches. Springer, Berlin (In press)Google Scholar
  4. 4.
    Wellman B, Leighton B (1979) Networks, neighborhoods and communities. Urban Aff Q 14:363–390CrossRefGoogle Scholar
  5. 5.
    Fischer C (1982) To dwell among friends. University of California Press, Berkeley, CAGoogle Scholar
  6. 6.
    Wellman B (1979) The community question. Am J Sociol 84:1201–1231CrossRefGoogle Scholar
  7. 7.
    Wellman B (1999) The network community. In: Wellman B (ed) Networks in the global village. Westview, Boulder, CO, pp 1–48Google Scholar
  8. 8.
    Wellman B (ed) (1999) Networks in the global village. Westview, Boulder, COGoogle Scholar
  9. 9.
    Rifkin SB, Muller F, Bichmann W (1988) Primary health care: on measuring participation. Soc Sci Med 26(9):931–940CrossRefGoogle Scholar
  10. 10.
    White AT (1982) Why community participation? A discussion of the arguments. Assignment ChildrenGoogle Scholar
  11. 11.
    Manderson L, Valencia LB, Thomas B (1991) Bringing the people in: community participation and the control of tropical diseaseGoogle Scholar
  12. 12.
    Wellman B, Boase J, Chen W (2002) The networked nature of community: online and offline. It Soc 1(1):151–165Google Scholar
  13. 13.
    Putnam RD (1995) Bowling alone: America’s declining social capital. J Democr 6(1):65–78CrossRefGoogle Scholar
  14. 14.
    Coleman J (1990) Foundations of social theory. Harvard UniversityPress, Cambridge, MAGoogle Scholar
  15. 15.
    Adler PS, Kwon S-W (2002) Social capital: prospects for a new concept. Acad Manag Rev 27:17–40CrossRefGoogle Scholar
  16. 16.
    Mathwick C, Wiertz C, de Ruyter K (2008) Social capital production in a virtual P3 community. J Consum Res 34:832–849CrossRefGoogle Scholar
  17. 17.
    McCully W, Lampe C, Sarkar C, Velasquez A, Sreevinasan A (2011) Online and offline interactions in online communities. In: Proceedings of the 7th international symposium on wikis and open collaboration. ACM, pp 39–48Google Scholar
  18. 18.
    Wikimania (2017) Accessed on 20 Dec 2017
  19. 19.
    World of warcraft. Accessed on 20 Dec 2017
  20. 20.
    Carter D (2005) Living in virtual communities: an ethnography of human relationships in cyberspace. Inf Community Soc 8(2):148–167CrossRefGoogle Scholar
  21. 21.
    Parks MR, Floyd K (1996) Making friends in cyberspace. J Comput‐Mediat Commun 1(4):0–0Google Scholar
  22. 22.
    Sessions LF (2010) How offline gatherings affect online communities: when virtual community members ‘meetup’. Inf Commun Soc 13(3):375–395CrossRefGoogle Scholar
  23. 23.
    MetaFilter. Accessed on 20 Dec 2017
  24. 24.
    Oldenburg R (1989) The great good place: Café, coffee shops, community centers, beauty parlors, general stores, bars, hangouts, and how they get you through the day. Paragon House PublishersGoogle Scholar
  25. 25.
    Steinkuehler CA, Williams D (2006) Where everybody knows your (screen) name: online games as “third places”. J Comput-Mediat Commun 11(4):885–909CrossRefGoogle Scholar
  26. 26.
    Rains SA (2005) Leveling the organizational playing field—virtually: a meta-analysis of experimental research assessing the impact of group support system use on member influence behaviors. Commun Res 32(2):193–234CrossRefGoogle Scholar
  27. 27.
    Walther JB (2004) Language and communication technology: introduction to the special issue. J Lang Soc Psychol 23(4):384–396MathSciNetCrossRefGoogle Scholar
  28. 28.
    Walther JB (1996) Computer-mediated communication: impersonal, interpersonal, and hyperpersonal interaction. Commun Res 23(1):3–43CrossRefGoogle Scholar
  29. 29.
    Bryant SL, Forte A, Bruckman A (2005) Becoming wikipedian: transformation of participation in a collaborative online encyclopedia. In: Proceedings of the 2005 international ACM SIGGROUP conference on supporting group work. ACM, pp 1–10Google Scholar
  30. 30.
    Preece J (2000) Online communities: designing usability and supporting sociability. WileyGoogle Scholar
  31. 31.
    Kim AJ (2000) Community building on the web: secret strategies for successful online communities. Addison-Wesley Longman Publishing Co., IncGoogle Scholar
  32. 32.
    Preece J, Maloney-Krichmar D, Abras C (2003) History of emergence of online communities. In: Wellman B (ed) Encyclopedia of community. Berkshire Publishing Group, Sage (In press)Google Scholar
  33. 33.
    Project PIAL (2002) Getting serious online: as Americans gain experience, they use the web more at work, write e-mail with more significant content, perform more online transactions, and pursue more serious activity. Pew Internet & American Life Project.
  34. 34.
    Boyd DM, Ellison NB (2008) Social network sites: definition, history and scholarship. J Comput-Mediat Commun 13(1):210–230CrossRefGoogle Scholar
  35. 35.
    Rheingold H (1993) The virtual community. Addison-Wesley, Reading, MAzbMATHGoogle Scholar
  36. 36.
    Bagozzi RP, Dholakia UM (2002) Intentional social action in virtual communities. J Interact Mark 16(Spring):2–21CrossRefGoogle Scholar
  37. 37.
    Balasubramanian S, Mahajan V (2001) The economic leverage of the virtual community. Int J Electron Commer 5(3):103–138CrossRefGoogle Scholar
  38. 38.
    Hagel JI, Armstrong AG (1997) Net gain: expanding markets through virtual communities. Harvard Business School Press, Boston, MAGoogle Scholar
  39. 39.
    Ridings CM, Gefen D, Arinze B (2002) Some antecedents and effects of trust in virtual communities. J Strateg Inf Syst 11:271–295CrossRefGoogle Scholar
  40. 40.
    Wellman B, Hampton K (1999) Living networked on and offline. Contemp Sociol 28:648–654CrossRefGoogle Scholar
  41. 41.
    Foote J, Gergle D, Shaw A (2017) Starting online communities: motivations and goals of Wiki founders. In: Proceedings of the 2017 CHI conference on human factors in computing systems. ACM, pp 6376–6380Google Scholar
  42. 42.
    Baxter H (2002) An introduction to online communities. Community manager of Knowledgeboard. comGoogle Scholar
  43. 43.
    Zhu H, Kraut RE, Kittur A (2014) The impact of membership overlap on the survival of online communities. In: Proceedings of the SIGCHI conference on human factors in computing systems. ACM, pp 281–290Google Scholar
  44. 44.
    Hagel JI, Armstrong AG (2006) Net gain-profit imNetz: Märkteerobernmitvirtuellen Communitys. Redline Wirtschaft, Sonderausgabe, HeidelbergGoogle Scholar
  45. 45.
    Chen C-J, Hung S-W (2010) To give or to receive? Factors influencing members’ knowledge sharing and community promotion in professional virtual communities. Inf Manag 47:226–236CrossRefGoogle Scholar
  46. 46.
    Dholakia U, Blazevic V, Wiertz C, Algesheimer R (2009) Communal service delivery: how customers benefit from participation in firm-hosted virtual P3 communities. J Serv Res 12(2):208–226CrossRefGoogle Scholar
  47. 47.
    Arndt J (1967) Role of product-related conversations in the diffusion of a new product. J Mark Res 4:291–295CrossRefGoogle Scholar
  48. 48.
    Murray K (1991) A test of services marketing theory: consumer information acquisition activities. J Mark 55:10–25CrossRefGoogle Scholar
  49. 49.
    Ridings CM, Gefen D (2004) Virtual community attraction: why people hang out online. J Comput-Mediat Commun 10. Accessed 20 Dec 2017
  50. 50.
    Dholakia UM, Bagozzi RP, Pearo LK (2004) A social influence model of consumer participation in network- and small-group-based virtual communities. Int J Res Mark 21(3):241–263CrossRefGoogle Scholar
  51. 51.
    Bagozzi RP (1994) Structural equation model in marketing research: basic principles. In: Bagozzi RP (ed) Principles of marketing research. Blackwell Publishers, Cambridge, MA, pp 317–385Google Scholar
  52. 52.
    Park N, Kee KF, Valenzuela S (2009) Being immersed in social networking environment: Facebook groups, uses and gratifications, and social outcomes. CyberPsychol Behav 12:729–733CrossRefGoogle Scholar
  53. 53.
    Sangwan S (2005) Virtual community success: a uses and gratifications perspective. In: Proceedings of the 38th annual Hawaii international conference on system sciencesHICSS ‘05, 193cGoogle Scholar
  54. 54.
    Wasko MML, Faraj S (2000) It is what one does: why people participate and help others in electronic communities of practice. J Strateg Inf Syst 9:155–173Google Scholar
  55. 55.
    Hennig-Thurau T, Gwinner KP, Walsh G, Gremler DD (2004) Electronic word-of-mouth via consumer-opinion platforms: what motivates consumers to articulate themselves on the Internet? J Interact Mark 18:38–52CrossRefGoogle Scholar
  56. 56.
    Wübben M, Wangenheim F (2008) Instant customer base analysis: managerial heuristics often ‘Get It Right’. J Market 72:82–93CrossRefGoogle Scholar
  57. 57.
    Ridings CM, Gefen D, Anrize B (2006) Psychological barriers: lurker and poster motivation and behavior in online communities. Commun Assoc Inf Syst 18:329–354Google Scholar
  58. 58.
    Nonnecke B, Preece J (2000) Lurker demographics: counting the silent. In: CHI ‘00 Proceedings of the SIGCHI conference on human factors in computing systems, New York: ACM, pp 73–80Google Scholar
  59. 59.
    deValck K, van Bruggen GH, Wierenga B (2009) Virtual communities: a marketing perspective. Decis Support Syst 47:185–203Google Scholar
  60. 60.
    Alarcon-del-Amo M-D-C, Lorenzo-Romero C, Gomez-Borja M-A (2011) Classifying and profiling social networking site users: a latent segmentation approach. Cyberpsychol Behav Soc Netw 14(9):547–553CrossRefGoogle Scholar
  61. 61.
    Armstrong A, Hagel J III (1996) The real value of on-line communities. Harv Bus Rev 74:134–141Google Scholar
  62. 62.
    Porter CE (2004) A typology of virtual communities: a multi-disciplinary foundation for future research. J Comput-Mediat Commun 10(1), Article 3. Accessed 7 Nov 2011CrossRefGoogle Scholar
  63. 63.
    Rohrmeier P (2012) Social networks and online communities–managing user acquisition, activation and retention. Doctoral dissertation, UniversitätMünchenGoogle Scholar
  64. 64.
    Borden NH (1964) The concept of the marketing mix. J Advert Res 4:2–7Google Scholar
  65. 65.
    Chen Y, Xie J (2008) Online consumer review: word-of-mouth as a new element of marketing communication mix. Manag Sci 54:477–491CrossRefGoogle Scholar
  66. 66.
    Duncan T, Moriarty SE (1998) A communication-based marketing model for managing relationships. J Mark 62:1–13CrossRefGoogle Scholar
  67. 67.
    Herr PM, Kardes FR, Kim J (1991) Effects of word-of-mouth and product attribute information on persuasion: an accessibility–diagnosticity perspective. J Consum Res 17:454–462CrossRefGoogle Scholar
  68. 68.
    Ling K, Beenen G, Ludford P, Wang X, Chang K, Li X, Resnick P (2005) Using social psychology to motivate contributions to online communities. J Comput-Mediat Commun 10(4):00–00CrossRefGoogle Scholar
  69. 69.
    Nov O, Naaman M, Ye C (2009) Motivational, structural and tenure factors that impact online community photo sharing. In: ICWSMGoogle Scholar
  70. 70.
    Kraut RE (2012) Evidence-based social design: mining the social sciences to build online communities. MIT PressGoogle Scholar
  71. 71.
    Gartner Inc. (2011) Gartner survey highlights consumer fatigue with social media. Accessed 20 Dec 2017
  72. 72.
    Goldenberg J, Han S, Lehmann DR, Hong JW (2009) The role of hubs in the adoption process. J Mark 73:1–13CrossRefGoogle Scholar
  73. 73.
    Shankara V, Urban GL, Sultan F (2002) Online trust: a stakeholder perspective, concepts, implications, and future directions. J Strateg Inf Syst 11(3–4):325–344CrossRefGoogle Scholar
  74. 74.
    Moorman C, Zaltman G, Deshpandé R (1992) Relationships between providers and users of market research: the dynamics of trust within and between organizations. J Mark Res 29:314–328CrossRefGoogle Scholar
  75. 75.
    Hsu M-H, Ju TL, Yen C-H, Chang C-M (2007) Knowledge sharing behavior in virtual communities: the relationship between trust, self-efficacy, and outcome expectations. Int J Hum Comput Stud 65(2):153–169CrossRefGoogle Scholar
  76. 76.
    Casalo LV, Flavian C, Guinaliu M (2008) Promoting consumer’s participation in virtual brand communities: a new paradigm in branding strategy. J Mark Commun 14(1):19–36CrossRefGoogle Scholar
  77. 77.
    Masic I, Sivic S, Toromanovic S, Borojevic T, Pandza H (2012) Social networks in improvement of health care. Materia Socio-Medica 24(1):48CrossRefGoogle Scholar
  78. 78.
    Liu H, Lim EP, Lauw HW, Le MT, Sun A, Srivastava J, Kim Y (2008) Predicting trusts among users of online communities: an epinions case study. In: Proceedings of the 9th ACM conference on electronic commerce. ACM, pp 310–319Google Scholar
  79. 79.
    Han JJ, Zheng RJ, Xu Y (2007) The effect of individual needs, trust and identification in explaining participation intentions in virtual communities. In: Proceedings of the 40th annual Hawaii international conference on system sciences (HICSS’07), 179cGoogle Scholar
  80. 80.
    Cutillo LA, Molva R, Strufe T (2009) Safebook: a privacy-preserving online social network leveraging on real-life trust. IEEE Commun Mag 47(12)CrossRefGoogle Scholar
  81. 81.
    Nissenbaum H (2011) A contextual approach to privacy online. Daedalus 140(4):32–48CrossRefGoogle Scholar
  82. 82.
    Dam WB (2009) School teacher suspended for Facebook gun photo.
  83. 83.
    Mail D (2011) Bank worker fired for Facebook post comparing her 7-an-hour wage to Lloyds boss’s 40 0 0-an-hour salary.
  84. 84.
    Dwyer C (2011) Privacy in the age of Google and Facebook. IEEE Technol Soc Mag 30(3):58–63CrossRefGoogle Scholar
  85. 85.
    Narayanan A, Shi E, Rubinstein BI (2011) Link prediction by de-anonymization: how we won the kaggle social network challenge. In: The 2011 international joint conference on neural networks (IJCNN). IEEE, pp 1825–1834Google Scholar
  86. 86.
    GNIP. Accessed on 20 Dec 2017
  87. 87.
    Kayes I, Iamnitchi A (2017) Privacy and security in online social networks: a survey. Online Soc Netw Media 3:1–21Google Scholar
  88. 88.
    Hwang T, Pearce I, Nanis M (2012) Socialbots: voices from the fronts. Interactions 19(2):38–45CrossRefGoogle Scholar
  89. 89.
    Stringhini G, Wang G, Egele M, Kruegel C, Vigna G, Zheng H, Zhao BY (2013) Follow the green: growth and dynamics in twitter follower markets. In: Proceedings of the 2013 conference on internet measurement conference. ACM, pp 163–176Google Scholar
  90. 90.
    Felt A, Evans D (2008) Privacy protection for social networking APIs. In: 2008 Web 2.0 security and privacy (W2SP’08)Google Scholar
  91. 91.
    Fiesler C, Bruckman A (2014) Copyright terms in online creative communities. In: CHI’14 extended abstracts on human factors in computing systems. ACM, pp 2551–2556Google Scholar
  92. 92.
    Bonneau J, Anderson J, Danezis G (2009) Prying data out of a social network. In: IEEE international conference on advances in social network analysis and mining, 2009 (ASONAM’09), pp 249–254Google Scholar
  93. 93.
    Nissenbaum H (2004) Privacy as contextual integrity. Wash Law Rev 79(1):119–158Google Scholar
  94. 94.
    Zhao Z, Resnick P, Mei Q (2015) Enquiring minds: early detection of rumors in social media from enquiry posts. In: Proceedings of the 24th international conference on world wide web. International World Wide Web Conferences Steering Committee, pp 1395–1405Google Scholar
  95. 95.
    Farzan R, DiMicco JM, Brownholtz B (2009) Spreading the honey: a system for maintaining an online community. In: Proceedings of the ACM 2009 international conference on supporting group work. ACM, pp 31–40Google Scholar
  96. 96.
    DiMicco J, Millen DR, Geyer W, Dugan C, Brownholtz B, Muller M (2008) Motivations for social networking at work. In Proceedings of the 2008 ACM conference on computer supported cooperative work. ACM, pp 711–720Google Scholar
  97. 97.
    Thom-Santelli J, Millen DR (2009) Learning by seeing: photo viewing in the workplace. In: Proceedings of the SIGCHI conference on human factors in computing systems. ACM, pp 2081–2090Google Scholar
  98. 98.
    Geyer W, Dugan C, DiMicco J, Millen DR, Brownholtz B, Muller M (2008) Use and reuse of shared lists as a social content type. In: Proceedings of the SIGCHI conference on human factors in computing systems. ACM, pp 1545–1554Google Scholar
  99. 99.
    Sarkar C, Wohn DY, Lampe C (2012) Predicting length of membership in online community everything2 using feedback. In: Proceedings of the ACM 2012 conference on computer supported cooperative work companion. ACM, pp 207–210Google Scholar
  100. 100.
    Burke M, Marlow C, Lento T (2009) Feed me: motivating newcomer contribution in social network sites. In: Proceedings of the SIGCHI conference on human factors in computing systems. ACM, pp 945–954Google Scholar
  101. 101.
    Churchill E, Girgensohn A, Nelson L, Lee A (2004) Blending digital and physical spaces for ubiquitous community participation. Commun ACM 47(2):38–44CrossRefGoogle Scholar
  102. 102.
    Lampe C, Johnston E (2005) Follow the (slash) dot: effects of feedback on new members in an online community. In: Proceedings of the 2005 international ACM SIGGROUP conference on supporting group work. ACM, pp 11–20Google Scholar
  103. 103.
    Fontaine MA, Millen DR (2004) Understanding the benefits and impact of communities of practice. In: Knowledge networks: innovation through communities of practice, pp 1–13Google Scholar
  104. 104.
    Kayes I, Zuo X, Wang D, Chakareski J (2014) Did you blog yesterday? Retention in community blogs. In: Proceedings of the 2014 international conference on social computing. ACM, pp 1–2Google Scholar
  105. 105.
    Zheng S (2015) Retention in MOOCs: understanding users’ motivations, perceptions and activity trajectories. In: Proceedings of the 33rd annual ACM conference extended abstracts on human factors in computing systems. ACM, pp 247–250Google Scholar
  106. 106.
    Adamopoulos P (2013) What makes a great MOOC? An interdisciplinary analysis of student retention in online coursesGoogle Scholar
  107. 107.
    Daniel J (2012) Making sense of MOOCs: musings in a maze of myth, paradox and possibility. J Interact Media Educ 2012(3)CrossRefGoogle Scholar
  108. 108.
    Anderson A, Huttenlocher D, Kleinberg J, Leskovec J (2014) Engaging with massive online courses. In: Proceedings of the 23rd international conference on world wide web. ACM, pp 687–698Google Scholar
  109. 109.
    Baghaei N, Freyne J, Kimani S, Smith G, Berkovsky S, Bhandari D, Paris C (2009) SOFA: an online social network for engaging and motivating families to adopt a healthy lifestyle. In: Proceedings of the 21st annual conference of the Australian computer-human interaction special interest group: design: open 24/7. ACM, pp 269–272Google Scholar
  110. 110.
    Fogg BJ (2002) Persuasive technology: using computers to change what we think and do. Ubiquity 2002:5CrossRefGoogle Scholar
  111. 111.
    Cheng R, Vassileva J (2005) User motivation and persuasion strategy for peer-to-peer communities. In: Proceedings of the 38th annual Hawaii international conference on system sciences, 2005 (HICSS’05). IEEE, pp 193a–193aGoogle Scholar
  112. 112.
    Lu D (2016) Engaging newcomers in hybrid communities. In: Proceedings of the 19th international conference on supporting group work. ACM, pp 491–494Google Scholar
  113. 113.
    Weinberg BD, Williams CB (2006) The 2004 US Presidential campaign: impact of hybrid offline and online ‘meetup’ communities. Direct Data Digit Mark Pract 8(1):46–57CrossRefGoogle Scholar
  114. 114.
    Hampton KN (2007) Neighborhoods in the network society the e-Neighbors study. Inf Commun Soc 10(5):714–748CrossRefGoogle Scholar
  115. 115.
    Hara N (2008) Internet use for political mobilization: voices of participants. First Monday 13(7)Google Scholar
  116. 116.
    Kraut RE, Resnick P, Kiesler S, Burke M, Chen Y, Kittur N, Riedl J (2012) Building successful online communities: evidence-based social design. MIT PressGoogle Scholar
  117. 117.
    Tajfel H (1974) Social identity and intergroup behaviour. Information (International Social Science Council) 13(2):65–93CrossRefGoogle Scholar
  118. 118.
    Lampe C, Wash R, Velasquez A, Ozkaya E (2010) Motivations to participate in online communities. In: Proceedings of the SIGCHI conference on human factors in computing systems. ACM, pp 1927–1936Google Scholar
  119. 119.
    Papacharissi Z, Rubin AM (2000) Predictors of internet use. J Broadcast Electron Media 44(2):175–196CrossRefGoogle Scholar
  120. 120.
    Ruggiero TE (2000) Uses and gratifications theory in the 21st century. Mass Commun Soc 3(1):3–37CrossRefGoogle Scholar
  121. 121.
    Allen NJ, Meyer JP (1990) The measurement and antecedents of affective, continuance and normative commitment to the organization. J Occup Organ Psychol 63(1):1–18CrossRefGoogle Scholar
  122. 122.
    Lakhani KR, Wolf RG (2005) Why hackers do what they do: understanding motivation and effort in free/open source software projects. In: Feller J, Fitzgerald B, Hissam SA, Lakhani KR (eds) Perspectives on free and open source software. MIT Press, Cambridge, MAGoogle Scholar
  123. 123.
    Wasko MM, Faraj S (2000) “It is what one does”: why people participate and help others in electronic communities of practice. J Strateg Inf Syst 9:155–173CrossRefGoogle Scholar
  124. 124.
    Constant D, Sproull L, Kiesler S (1996) The kindness of strangers: the usefulness of electronic weak ties for technical advice. Organ Sci 7(2):119–135CrossRefGoogle Scholar
  125. 125.
    Butler B, Sproull L, Kiesler S, Kraut R (2002) Community effort in online groups: who does the work and why. Leadership at a distance: Research in technologically supported work, pp 171–194Google Scholar
  126. 126.
    Ehrlich K, Muller M, Matthews T, Guy I, Ronen I (2014) What motivates members to contribute to enterprise online communities? In: Proceedings of the companion publication of the 17th ACM conference on computer supported cooperative work & social computing. ACM, pp 149–152Google Scholar
  127. 127.
    Wu S, Das Sarma A, Fabrikant A, Lattanzi S, Tomkins A (2013) Arrival and departure dynamics in social networks. In: Proceedings of the sixth ACM international conference on web search and data mining. ACM, pp 233–242Google Scholar
  128. 128.
    Zhu H, Kraut R, Kittur A (2012) Effectiveness of shared leadership in online communities. In: Proceedings of the ACM 2012 conference on computer supported cooperative work. ACM, pp 407–416Google Scholar
  129. 129.
    Subramani MR, Rajagopalan B (2003) Knowledge-sharing and influence in online social networks via viral marketing. Commun ACM 46(12):300–307CrossRefGoogle Scholar
  130. 130.
    Yang S, Allenby GM (2003) Modeling interdependent consumer preferences. J Mark Res 40(3):282–294CrossRefGoogle Scholar
  131. 131.
    He J, Chu WW (2010) A social network-based recommender system (SNRS). In: Data mining for social network data. Springer US, pp 47–74CrossRefGoogle Scholar
  132. 132.
    Su Z, Tung AK, Zhang Z (2012) Supporting top-K item exchange recommendations in large online communities. In: Proceedings of the 15th international conference on extending database technology. ACM, pp 97–108Google Scholar
  133. 133.
    Shede. Accessed on Dec 2017
  134. 134.
    RecSys Challenge (2018). Accessed on Feb 2018
  135. 135.
    Carroll JM, Rosson MB (1998) Network communities, community networks. In: CHI 98 conference summary on human factors in computing systems. ACM, pp. 121–122Google Scholar
  136. 136.
    Girvan M, Newman ME (2002) Community structure in social and biological networks. Proc Natl Acad Sci 99(12):7821–7826MathSciNetzbMATHCrossRefGoogle Scholar
  137. 137.
    Nguyen NP, Dinh TN, Nguyen DT, Thai MT (2011) Overlapping community structures and their detection on social networks. In: 2011 IEEE third international conference on privacy, security, risk and trust (PASSAT) and 2011 IEEE third international conference on social computing (SocialCom). IEEE, pp 35–40Google Scholar
  138. 138.
    Nguyen NP, Dinh TN, Xuan Y, Thai MT (2011) Adaptive algorithms for detecting community structure in dynamic social networks. In: 2011 Proceedings of IEEE INFOCOM. IEEE, pp 2282–2290Google Scholar
  139. 139.
    Nguyen NP, Xuan Y, Thai MT (2010) A novel method for worm containment on dynamic social networks. In: Military communications conference, 2010 (MILCOM 2010). IEEE, pp 2180–2185Google Scholar
  140. 140.
    Nguyen NP, Dinh TN, Tokala S, Thai MT (2011) Overlapping communities in dynamic networks: their detection and mobile applications. In: Proceedings of the 17th annual international conference on mobile computing and networking. ACM, pp 85–96Google Scholar
  141. 141.
    Palla G, Derényi I, Farkas I, Vicsek T (2005) Uncovering the overlapping community structure of complex networks in nature and society. Nature 435(7043), 814. (Tyler JR, DM)CrossRefGoogle Scholar
  142. 142.
    Tyler JR, Wilkinson DM, Huberman BA (2003) Email as spectroscopy: automated discovery of community structure within organizations. In: Communities and technologies. Springer, Dordrecht, pp 81–96CrossRefGoogle Scholar
  143. 143.
    Wilkinson DM, Huberman BA (2004) A method for finding communities of related genes. Proc Natl Acad Sci 101(suppl 1):5241–5248CrossRefGoogle Scholar
  144. 144.
    Newman ME, Girvan M (2004) Finding and evaluating community structure in networks. Phys Rev E 69(2):026113Google Scholar
  145. 145.
    Clauset A, Newman ME, Moore C (2004) Finding community structure in very large networks. Phys Rev E 70(6):066111CrossRefGoogle Scholar
  146. 146.
    Blondel VD, Guillaume JL, Lambiotte R, Lefebvre E (2008) Fast unfolding of communities in large networks. J Stat Mech Theory Exp 2008(10):P10008CrossRefGoogle Scholar
  147. 147.
    Radicchi F, Castellano C, Cecconi F, Loreto V, Parisi D (2004) Defining and identifying communities in networks. Proc Natl Acad Sci USA 101(9):2658–2663CrossRefGoogle Scholar
  148. 148.
    Lancichinetti A, Fortunato S, Kertész J (2009) Detecting the overlapping and hierarchical community structure in complex networks. New J Phys 11(3):033015CrossRefGoogle Scholar
  149. 149.
    Xie J, Kelley S, Szymanski BK (2013) Overlapping community detection in networks: the state-of-the-art and comparative study. ACM Comput Surv (CSUR) 45(4):43zbMATHCrossRefGoogle Scholar
  150. 150.
    Adamcsek B, Palla G, Farkas IJ, Derényi I, Vicsek T (2006) CFinder: locating cliques and overlapping modules in biological networks. Bioinformatics 22(8):1021–1023CrossRefGoogle Scholar
  151. 151.
    Farkas I, Ábel D, Palla G, Vicsek T (2007) Weighted network modules. New J Phys 9(6):180CrossRefGoogle Scholar
  152. 152.
    Onnela JP, Saramäki J, Kertész J, Kaski K (2005) Intensity and coherence of motifs in weighted complex networks. Phys Rev E 71(6):065103CrossRefGoogle Scholar
  153. 153.
    Newman ME (2002) Assortative mixing in networks. Phys Rev Lett 89(20):208701CrossRefGoogle Scholar
  154. 154.
    Shen H, Cheng X, Cai K, Hu MB (2009) Detect overlapping and hierarchical community structure in networks. Physica A 388(8):1706–1712CrossRefGoogle Scholar
  155. 155.
    Kumpula JM, Kivelä M, Kaski K, Saramäki J (2008) Sequential algorithm for fast clique percolation. Phys Rev E 78(2):026109CrossRefGoogle Scholar
  156. 156.
    Ahn YY, Bagrow JP, Lehmann S (2010) Link communities reveal multiscale complexity in networks. Nature 466(7307):761CrossRefGoogle Scholar
  157. 157.
    Rosvall M, Bergstrom CT (2008) Maps of random walks on complex networks reveal community structure. Proc Natl Acad Sci 105(4):1118–1123CrossRefGoogle Scholar
  158. 158.
    Evans TS (2010) Clique graphs and overlapping communities. J Stat Mech Theory Exp 2010(12):P12037CrossRefGoogle Scholar
  159. 159.
    Gregory S (2011) Fuzzy overlapping communities in networks. J Stat Mech Theory Exp 2011(02):P02017CrossRefGoogle Scholar
  160. 160.
    Zhang S, Wang RS, Zhang XS (2007) Identification of overlapping community structure in complex networks using fuzzy c-means clustering. Physica A Stat Mech Appl 374(1):483–490CrossRefGoogle Scholar
  161. 161.
    Nepusz T, Petróczi A, Négyessy L, Bazsó F (2008) Fuzzy communities and the concept of bridgeness in complex networks. Phys Rev E 77(1):016107MathSciNetCrossRefGoogle Scholar
  162. 162.
    Wang X, Jiao L, Wu J (2009) Adjusting from disjoint to overlapping community detection of complex networks. Physica A Stat Mech Appl 388(24):5045–5056CrossRefGoogle Scholar
  163. 163.
    Psorakis I, Roberts S, Ebden M, Sheldon B (2011) Overlapping community detection using bayesian non-negative matrix factorization. Phys Rev E 83(6):066114CrossRefGoogle Scholar
  164. 164.
    Gregory S (2008) A fast algorithm to find overlapping communities in networks. In: Joint European conference on machine learning and knowledge discovery in databases. Springer, Berlin, Heidelberg, pp 408–423Google Scholar
  165. 165.
    Gregory S (2009) Finding overlapping communities using disjoint community detection algorithms. In: Complex networks. Springer, Berlin, Heidelberg, pp 47–61CrossRefGoogle Scholar
  166. 166.
    Goldberg M, Kelley S, Magdon-Ismail M, Mertsalov K, Wallace A (2010) Finding overlapping communities in social networks. In: 2010 IEEE second international conference on social computing (SocialCom). IEEE, pp 104–113Google Scholar
  167. 167.
    Lancichinetti A, Radicchi F, Ramasco JJ, Fortunato S (2011) Finding statistically significant communities in networks. PLoS ONE 6(4):e18961CrossRefGoogle Scholar
  168. 168.
    Lancichinetti A, Radicchi F, Ramasco JJ (2010) Statistical significance of communities in networks. Phys Rev E 81(4):046110CrossRefGoogle Scholar
  169. 169.
    Raghavan UN, Albert R, Kumara S (2007) Near linear time algorithm to detect community structures in large-scale networks. Phys Rev E 76(3):036106CrossRefGoogle Scholar
  170. 170.
    Gregory S (2010) Finding overlapping communities in networks by label propagation. New J Phys 12(10):103018CrossRefGoogle Scholar
  171. 171.
    Chen D, Shang M, Lv Z, Fu Y (2010) Detecting overlapping communities of weighted networks via a local algorithm. Physica A Stat Mech Appl 389(19):4177–4187CrossRefGoogle Scholar
  172. 172.
    Liu J, Zhong W, Abbass HA, Green DG (2010) Separated and overlapping community detection in complex networks using multiobjective evolutionary algorithms. In: 2010 IEEE congress on evolutionary computation (CEC). IEEE, pp 1–7Google Scholar
  173. 173.
    Rees BS, Gallagher KB (2013) Detecting overlapping communities in complex networks using swarm intelligence for multi-threaded label propagation. In: Complex networks. Springer, Berlin, Heidelberg, pp 111–119CrossRefGoogle Scholar
  174. 174.
    Wen S, Jiang J, Xiang Y, Yu S, Zhou W, Jia W (2014) To shut them up or to clarify: restraining the spread of rumors in online social networks. IEEE Trans Parallel Distrib Syst 25(12):3306–3316CrossRefGoogle Scholar
  175. 175.
    Lin YR, Chi Y, Zhu S, Sundaram H, Tseng BL (2009) Analyzing communities and their evolutions in dynamic social networks. ACM Trans Knowl Discov Data (TKDD) 3(2):8Google Scholar
  176. 176.
    Asur S, Parthasarathy S, Ucar D (2009) An event-based framework for characterizing the evolutionary behavior of interaction graphs. ACM Trans Knowl Discov Data (TKDD) 3(4):16Google Scholar
  177. 177.
    Kumar R, Novak J, Tomkins A (2010) Structure and evolution of online social networks. In Link mining: models, algorithms, and applications. Springer, New York, NY, pp 337–357CrossRefGoogle Scholar
  178. 178.
    Leskovec J, Kleinberg J, Faloutsos C (2005) Graphs over time: densification laws, shrinking diameters and possible explanations. In: Proceedings of the eleventh ACM SIGKDD international conference on knowledge discovery in data mining. ACM, pp 177–187Google Scholar
  179. 179.
    Lin YR, Sundaram H, Chi Y, Tatemura J, Tseng BL (2007) Blog community discovery and evolution based on mutual awareness expansion. In: IEEE/WIC/ACM international conference on web intelligence. IEEE, pp. 48–56Google Scholar
  180. 180.
    Palla G, Barabási AL, Vicsek T (2007) Quantifying social group evolution. Nature 446(7136):664CrossRefGoogle Scholar
  181. 181.
    Spiliopoulou M, Ntoutsi I, Theodoridis Y, Schult R (2006) Monic: modeling and monitoring cluster transitions. In: Proceedings of the 12th ACM SIGKDD international conference on knowledge discovery and data mining. ACM, pp 706–711Google Scholar
  182. 182.
    Prabavathi G, Sreeshanmugapriya T (2016) A review on community detection in dynamic social networks. Int J Innov Res Comput Commun Eng 4(7). 0407061
  183. 183.
    Zhang Y, Wang J, Wang Y, Zhou L (2009) Parallel community detection on large networks with propinquity dynamics. In: Proceedings of the 15th ACM SIGKDD international conference on knowledge discovery and data mining. ACM, pp 997–1006Google Scholar
  184. 184.
    Sun J, Faloutsos C, Papadimitriou S, Yu PS (2007) Graphscope: parameter-free mining of large time-evolving graphs. In Proceedings of the 13th ACM SIGKDD international conference on knowledge discovery and data mining. ACM, pp 687–696Google Scholar
  185. 185.
    Hui P, Yoneki E, Chan SY, Crowcroft J (2007) Distributed community detection in delay tolerant networks. In: Proceedings of 2nd ACM/IEEE international workshop on mobility in the evolving internet architecture. ACM, p 7Google Scholar
  186. 186.
    Yang T, Chi Y, Zhu S, Gong Y, Jin R (2011) Detecting communities and their evolutions in dynamic social networks—a Bayesian approach. Mach Learn 82(2):157–189MathSciNetzbMATHCrossRefGoogle Scholar
  187. 187.
    Holland PW, Leinhardt S (1976) Local structure in social networks. Sociol Methodol 7:1–45CrossRefGoogle Scholar
  188. 188.
    Xu KS, Kliger M, Hero III AO (2014) Adaptive evolutionary clustering. Data Min Knowl Discov 28(2):304–336MathSciNetzbMATHCrossRefGoogle Scholar
  189. 189.
    Palla G, Pollner P, Barabási AL, Vicsek T (2009) Social group dynamics in networks. In: Adaptive networks. Springer, Berlin, Heidelberg, pp 11–38Google Scholar
  190. 190.
    Duan D, Li Y, Jin Y, Lu Z (2009) Community mining on dynamic weighted directed graphs. In: Proceedings of the 1st ACM international workshop on complex networks meet information & knowledge management. ACM, pp 11–18Google Scholar
  191. 191.
    Kim MS, Han J (2009) A particle-and-density based evolutionary clustering method for dynamic networks. Proc VLDB Endow 2(1):622–633MathSciNetCrossRefGoogle Scholar
  192. 192.
    Cazabet R, Amblard F, Hanachi C (2010) Detection of overlapping communities in dynamical social networks. In: 2010 IEEE second international conference on social computing (SocialCom). IEEE, pp 309–314Google Scholar
  193. 193.
    He-Li S, Jian-Bin H, Yong-Qiang T, Qin-Bao S, Huai-Liang L (2015) Detecting overlapping communities in networks via dominant label propagation. Chin Phys B 24(1):018703CrossRefGoogle Scholar
  194. 194.
    Aston N, Hu W (2014) Community detection in dynamic social networks. Commun Netw 6(02):124CrossRefGoogle Scholar
  195. 195.
    He K, Li Y, Soundarajan S, Hopcroft JE (2018) Hidden community detection in social networks. Inf Sci 425:92–106MathSciNetCrossRefGoogle Scholar
  196. 196.
    Pendry LF, Salvatore J (2015) Individual and social benefits of online discussion forums. Comput Hum Behav 50:211–220CrossRefGoogle Scholar
  197. 197.
    DiMaggio P, Hargittai E, Neuman WR, Robinson JP (2001) Social implications of the internet. Ann Rev Sociol 27:307–336. Scholar
  198. 198.
    Howard PEN, Rainie L, Jones S (2001) Days and nights on the internet: the impact of a diffusing technology. Am Behav Sci 45(3):383–404. Scholar
  199. 199.
    McKenna KYA, Bargh JA (1998) Coming out in the age of the Internet: Identity ‘‘demarginalization’’ through virtual group participation. J Pers Soc Psychol 75(3):681–694. Scholar
  200. 200.
    Isinkaye FO, Folajimi YO, Ojokoh BA (2015) Recommendation systems: principles, methods and evaluation. Egypt Inform J 16(3):261–273CrossRefGoogle Scholar
  201. 201.
    Fatemi M, Tokarchuk L (2013) A community based social recommender system for individuals & groups. In: 2013 international conference on social computing (SocialCom). IEEE, pp 351–356Google Scholar
  202. 202.
    Sun A, Chen X (2016) Online education and its effective practice: a research review. J Inf Technol Educ 15Google Scholar

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© Springer International Publishing AG, part of Springer Nature 2019

Authors and Affiliations

  1. 1.Symbiosis Centre for Information Technology (SCIT), Symbiosis International (Deemed University) (SIU)Hinjewadi, PuneIndia

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